13 citations · 17 across the 7 of their papers we have counts for
7 papers
One Joke to Rule them All? On the (Im)possibility of Generalizing Humor
Mor Turgeman, Chen Shani, Dafna Shahaf
Humor is a broad and complex form of communication that remains challenging for machines. Despite its broadness, most existing research on computational humor traditionally focused…
Towards Concept-Aware Large Language Models
Chen Shani, Jilles Vreeken, Dafna Shahaf
Concepts play a pivotal role in various human cognitive functions, including learning, reasoning and communication. However, there is very little work on endowing machines with the…
FAME: Flexible, Scalable Analogy Mappings Engine
Shahar Jacob, Chen Shani, Dafna Shahaf
Analogy is one of the core capacities of human cognition; when faced with new situations, we often transfer prior experience from other domains. Most work on computational analogy…
The Lean Data Scientist: Recent Advances towards Overcoming the Data Bottleneck
Chen Shani, Jonathan Zarecki, Dafna Shahaf
Machine learning (ML) is revolutionizing the world, affecting almost every field of science and industry. Recent algorithms (in particular, deep networks) are increasingly data-hun…
How Did This Get Funded?! Automatically Identifying Quirky Scientific Achievements
Chen Shani, Nadav Borenstein, Dafna Shahaf
Humor is an important social phenomenon, serving complex social and psychological functions. However, despite being studied for millennia humor is computationally not well understo…
"Alexa, what do you do for fun?" Characterizing playful requests with virtual assistants
Chen Shani, Alexander Libov, Sofia Tolmach +3
Virtual assistants such as Amazon's Alexa, Apple's Siri, Google Home, and Microsoft's Cortana, are becoming ubiquitous in our daily lives and successfully help users in various dai…